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Four Tableau products a quick review and explanation

I want to share you what are the Products most popular.

Total four products. Read the details below.

Tableau desktop-(Business analytics anyone can use) - Tableau  Desktop  is  based  on  breakthrough technology  from  Stanford  University  that  lets  you drag & drop to analyze data. You can connect to  data in a few clicks, then visualize and create interactive dashboards with a few more.

We’ve done years of research to build a system that supports people’s natural  ability  to  think visually. Shift fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts. You just create beautiful, rich data visualizations.  It's so easy to use that any Excel user can learn it. Get more results for less effort. And it’s 10 –100x faster than existing solutions.

Tableau server
Tableau  Server  is  a  business  intelligence  application  that  provides  browser-based  analytics anyone can use. It’s a rapid-fire alternative to th…

5 Top features of Columnar Databases (1 of 2 )

The traditional RDBMS - Since the days of punch cards and magnetic tapes, files have been physically contiguous bytes that are accessed from start (open file) to finish (end-of-file flag = TRUE).

Yes, the storage could be split up on a disk and the assorted data pages connected by pointer chains, but it is still the same model. Then the file is broken into records (more physically contiguous bytes), and records are broken into fields (still more physically contiguous bytes).

A file is processed in record by record (read/fetch next) or sequentially navigated in terms of a physical storage location (go to end of file, go back/forward n records, follow a pointer chain, etc.). There is no parallelism in this model. There is also an assumption of a physical ordering of the records within the file and an ordering of fields within the records.
A lot of time and resources have been spent sorting records to make this access practical; you did not do random access on a magnetic tape and you could not do it with a deck of punch cards.

When we got to RDBMS and SQL, this file system model was still the dominant mindset. Even Dr. Codd fell prey to it. He first had to have a PRIMARY KEY in all tables, which corresponded to the sort order of a sequential file.

 Later, he realized that a key is a key and there is no need to make one of them special in RDBMS. However, SQL had already incorporated the old terminology and the early SQL engines were built on existing file systems, so it stuck.

Also read: Part-2 | Part-1
  • The columnar model takes a fundamentally different approach. But it is one that works nicely with SQL and the relational model.
  • In RDBMS, a table is an unordered set of rows that have exactly the same kind of rows. A row is an unordered set of columns all of the same kind, each of which holds scalar values drawn from a known domain. You access the columns by name, not by a physical position in the storage, but you have the "SELECT*" and other shorthand conventions to save typing.
  • The logical model is as follows: a table is a set of rows with one and only one structure; a row is a set of columns; a column is a scalar value drawn from one and only one domain. Storage usually follows this pattern with conventional file systems, using files for tables, records for rows, and fields for columns. But that has nothing to do with physical storage.
  • In the columnar model, we take a table and store each column in its own structure. Rows and tables are reassembled from these rows. Looking at the usual picture of a table, you can see why they are called vertical storage as opposed to horizontal storage models

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